A select group of parents have decided that obesity is caused by the consumption of Ice Cream and nothing else. They have now started campaigning the US. Government to stop the production and sale of Ice Cream on the national level. This is all on the hopes to prevent childhood obesity and what they believe to be the main contributor to adulthood obesity, some states have resisted. You think this is a little extreme and have decided to do some digging into what the facts are and what might be the ramications, before you jump to any conclusions. As you know correlation doesn't imply causation, and data speaks volumes. On a side tangent, you nd the following nancial statistics that in order for the US. Government to com bat Ice Cream sales, it needs to spend $51 Billion to pay for the war on Ice Cream, but by enacting this law against Ice Cream the federal government also losses out on $46.7 Billion in Ice Cream annual tax revenue. The economist inside of you says this is more like a $97.7 Billion nancial burden on the US. tax payers, which you guess is less than the TARP {Troubled Asset Relief Program) bailout which authorized $700 billion in purchasing illiquid mortgage backed securities {although this was true only $426 Billion was used, but still quite a tidy sum of money}. You still think that this seems like a huge nancial fumble for the US. Government to enact such a law, with no real justication, you are inspired to gather some data about the real results of Obesity and Children, and other factors. So you regress back to the problem you want to address and to provide a detailed report to the advisers/policy makers who will decide the fate of Ice Cream. In the process of gathering data you nd the following variables: '3' 0BR {Obesity rate as a percentage} hint: you may need to make this a proportion (decimal) if using a proportion test, along with any other percentagesl, POP {Population in millions], EDU {Education, peroentoge of population with a bachelor's degree or higher), MHI (Median Household Income in thousands of dollars}, AGE {percentage of population under the age of 18], SP {spending on obesity in thousands). O Q Q Q Q 0.. 0.. 0.. 0.. 0.. 1) {Bptsl Do the variables: a) 0BR, b) POP, c) EDU, and d) MHI, look normally distributed {use histograms and normal quantile plots to support your claim]. Remember the purpose of this document you are presenng to a group of advisers